Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q1
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
Journal of Materials Research and Technology · Mart 2022
YÖKSİS Kayıtları
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
Journal of Materials Research and Technology · 2022 SCI-Expanded
Doç. Dr. MUSTAFA KUNTOĞLU →
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
Journal of Materials Research and Technology · 2022 SCI-Expanded
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
Journal of Materials Research and Technology · 2022 SCI-Expanded
Doç. Dr. EMİN SALUR →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Investigation on microstructure, mechanical, and tribological performance of Cu base hybrid composite materials
2021 ISSN: 2238-7854 SCI-Expanded Q1
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu\B\CrC based ceramic matrix composites
2022 ISSN: 2238-7854 SCI-Expanded Q1
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
2022 ISSN: 2238-7854 SCI-Expanded Q1
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
Investigation of machinability of Ti\B-SiCp reinforced Cu hybrid composites in dry turning
2022 ISSN: 2238-7854 SCI-Expanded Q1
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
A short review on thermal treatments of Titanium & Nickel based alloys processed by selective laser melting
2022 ISSN: 2238-7854 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Determination of machinability metrics of AISI 5140 steel for gear manufacturing using different cooling/lubrication conditions
2022 ISSN: 2238-7854 SCI-Expanded Q1
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu\u2013B\u2013CrC based ceramic matrix composites
2022 ISSN: 2238-7854 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
2022 ISSN: 2238-7854 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials
2022 ISSN: 2238-7854 SCI-Expanded Q1
Doç. Dr. EMİN SALUR →
A review on progress trends of machining of Carbon Fiber Reinforced Plastics
2024 ISSN: 2238-7854 SCI Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Machinability and surface integrity of glass fiber reinforced plastic composite: A review
2025 ISSN: 2238-7854 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Review of advances and challenges in machining of metal matrix composites
2025 ISSN: 2238-7854 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Makale Bilgileri
ISSN22387854
Yayın TarihiMart 2022
Cilt / Sayfa17 · 2987-2998
Scopus ID2-s2.0-105021087647
Erişim🔓 Açık Erişim
Özet
The current study aims to determine the influence of machining and production parameters during the milling of Cu/B–CrC composites. The relationship between energy consumption and cutting speed, feed rate and reinforcement ratio were investigated. For this purpose, 2d and 3d graphs for comparison of the effects of input parameters were demonstrated and analyzed. The predictability of the energy consumption during milling was measured by a fuzzy inference system (FIS). According to the graphical and optimization results, the optimum conditions to obtain the minimum energy consumption were 5% reinforcement ratio, 125 m/min cutting speed and 0.2 mm/rev feed rate. A reinforcement ratio of 52.71% was the most effective factor on energy demand followed by the feed rate (24.26%) and cutting speed (12.85%). According to the obtained results, there was a minor margin of error between the actual and predicted findings ranging from 1.6 to 2.4%. Considering the energy consumption is one of the key factors among machinability criteria, the study proposes a comprehensive approach for industrial and academic works.
Yazarlar (9)
1
Üsame Ali Usca
2
Serhat Şap
ORCID: 0000-0001-5177-4952
3
Mahir Uzun
ORCID: 0000-0002-0907-6875
4
Mustafa Kuntoğlu
ORCID: 0000-0002-7291-9468
5
Emin Salur
6
Abdülkerim Karabiber
7
Danil Yu Pimenov
ORCID: 0000-0002-5568-8928
8
Khaled Giasin
9
Szymon Wojciechowski
ORCID: 0000-0002-3380-4588
Anahtar Kelimeler
Analysis
Copper matrix composites
Energy consumption
Estimation
Milling
Optimization
Kurumlar
Bingöl Üniversitesi
Bingol Turkey
Inönü Üniversitesi
Malatya Turkey
Politechnika Poznanska
Poznan Poland
Selçuk Üniversitesi
Selçuklu Turkey
South Ural State University
Chelyabinsk Russian Federation
University of Portsmouth
Portsmouth United Kingdom
Scimago Dergi (ISSN Eşleşmesi)
Journal of Materials Research and Technology
Q1
OA
SJR Skoru1,318
H-Index118
YayıncıElsevier Editora Ltda
ÜlkeBrazil
Biomaterials (Q1)
Ceramics and Composites (Q1)
Metals and Alloys (Q1)
Surfaces, Coatings and Films (Q1)
Metrikler
51
Atıf
9
Yazar
6
Anahtar Kelime